US counties by traffic fatality rate
Loving County had the highest traffic fatality rate of 3075 counties in 2016, at 6,122.4 per 100,000 people. Ziebach County had the lowest, at 0 per 100,000 people. The median was 16.5 per 100,000 people and the figure for the United States was 11.7 per 100,000 people. Source: NHTSA and BEA.
Top 40 counties, 2016
Full ranking
| Rank | Counties | 2016 | Change on 2015 |
|---|---|---|---|
| 1 | Loving County | 6,122.4 | +2,896.6 pts |
| 2 | Alpine County | 630.6 | +542 pts |
| 3 | Kenedy County | 492.6 | +19.8 pts |
| 4 | Treasure County | 419.6 | +419.6 pts |
| 5 | Esmeralda County | 401.6 | -248.6 pts |
| 6 | Hudspeth County | 376.4 | +110.8 pts |
| 7 | Clark County | 358.9 | +242.4 pts |
| 8 | Harding County | 287.8 | +287.8 pts |
| 9 | Kimble County | 276.4 | +68.8 pts |
| 10 | De Baca County | 271.4 | +111.9 pts |
| 11 | Guadalupe County | 267.4 | +87.2 pts |
| 12 | Mineral County | 246.3 | +119.6 pts |
| 13 | Hyde County | 228.3 | +228.3 pts |
| 14 | Gilliam County | 213.1 | +213.1 pts |
| 15 | Petroleum County | 203.3 | +203.3 pts |
| 16 | Glasscock County | 171.5 | -323.5 pts |
| 17 | Harper County | 168.8 | +86.2 pts |
| 18 | Oldham County | 163 | -264.4 pts |
| 19 | Borden County | 162.9 | +1.1 pts |
| 20 | Chase County | 152.5 | +1.3 pts |
| 21 | San Juan County | 150.4 | +150.4 pts |
| 22 | Campbell County | 144.8 | +73.9 pts |
| 23 | Briscoe County | 139.3 | +139.3 pts |
| 24 | McMullen County | 137.2 | -387.1 pts |
| 25 | Culberson County | 134 | -394.2 pts |
| 26 | Sherman County | 132.4 | +132.4 pts |
| 27 | Griggs County | 130 | +130 pts |
| 28 | Divide County | 128.4 | +128.4 pts |
| 29 | Coke County | 124.2 | -32.5 pts |
| 30 | Lane County | 122.6 | +62.4 pts |
| 31 | Ringgold County | 122.4 | +122.4 pts |
| 32 | Schuyler County | 119.9 | +119.9 pts |
| 33 | Terrell County | 118.9 | +118.9 pts |
| 34 | Delta County | 118.8 | +79.5 pts |
| 35 | Crockett County | 117.9 | +32.6 pts |
| 36 | Costilla County | 117.1 | +57.3 pts |
| 37 | Niobrara County | 116.2 | +39.2 pts |
| 38 | Grant County | 115.4 | +47.1 pts |
| 39 | Martin County | 113.6 | -92.1 pts |
| 40 | Greenwood County | 113.4 | +81.6 pts |
| 41 | Monroe County | 109.5 | +69.8 pts |
| 42 | Roberts County | 109.1 | +109.1 pts |
| 43 | Jones County | 108.8 | -1.2 pts |
| 44 | Golden Valley County | 107.9 | +107.9 pts |
| 45 | Dewey County | 107.1 | +44.5 pts |
| 46 | Meagher County | 104.8 | +104.8 pts |
| 47 | Cass County | 104.7 | +67.6 pts |
| 48 | La Paz County | 102.2 | -3.9 pts |
| 49 | Jackson County | 101.9 | +2.1 pts |
| 50 | Billings County | 101.8 | +101.8 pts |
| 51 | Real County | 101.1 | -68.7 pts |
| 52 | Garfield County | 100.3 | +100.3 pts |
| 53 | Carson County | 99.1 | -51.4 pts |
| 54 | Oglala Lakota County | 98.7 | +56.4 pts |
| 55 | Saguache County | 98.6 | +81.9 pts |
| 56 | Custer County | 97.7 | -25.3 pts |
| 57 | Daggett County | 97.3 | +3.6 pts |
| 58 | Reeves County | 96.8 | -43.8 pts |
| 59 | Big Horn County | 96.8 | +14.1 pts |
| 60 | Franklin County | 96.1 | +57.5 pts |
| 61 | Camas County | 95.5 | -0.5 pts |
| 62 | Jasper County | 94.1 | +36.8 pts |
| 63 | Coosa County | 94.1 | +66.2 pts |
| 64 | Socorro County | 94 | +70.7 pts |
| 65 | Warren County | 93.5 | -18.2 pts |
| 66 | Mora County | 92.1 | +47.2 pts |
| 67 | Granite County | 92.1 | +60.3 pts |
| 68 | Jenkins County | 91.1 | +46 pts |
| 69 | Mineral County | 90.8 | +45.8 pts |
| 70 | Dolores County | 90.7 | +43.2 pts |
| 71 | Chicot County | 90.5 | +18.3 pts |
| 72 | Emery County | 89.7 | +30.9 pts |
| 73 | Crosby County | 89.2 | +18.6 pts |
| 74 | Hartley County | 88 | -53.3 pts |
| 75 | Burke County | 88 | +88 pts |
| 76 | Wolfe County | 87.5 | +30 pts |
| 77 | Gasconade County | 87.5 | +67.3 pts |
| 78 | Idaho County | 86.9 | +62.2 pts |
| 79 | Greer County | 86 | +69.1 pts |
| 80 | Foard County | 85.3 | +85.3 pts |
| 80 | Prairie County | 85.3 | +85.3 pts |
| 82 | Twiggs County | 85.3 | +25.1 pts |
| 83 | Jasper County | 84.9 | +63.9 pts |
| 84 | Roger Mills County | 83.1 | +83.1 pts |
| 85 | Kemper County | 82.8 | +21.5 pts |
| 86 | Kidder County | 82.3 | +82.3 pts |
| 87 | Sutton County | 81.9 | -25.7 pts |
| 88 | Sioux County | 81.6 | +81.6 pts |
| 89 | Mountrail County | 81.5 | +31.3 pts |
| 90 | Webster County | 81.3 | +1.6 pts |
| 91 | Garfield County | 81.1 | -0.1 pts |
| 92 | East Feliciana Parish | 80.6 | +40.2 pts |
| 93 | Platte County | 80.4 | +35.1 pts |
| 94 | Ward County | 79.5 | -8.1 pts |
| 95 | Shoshone County | 79.3 | +55.5 pts |
| 96 | Torrance County | 78.9 | +26.9 pts |
| 97 | Rosebud County | 78.3 | +34.3 pts |
| 98 | Lyman County | 77.8 | +77.8 pts |
| 99 | Greeley County | 75.2 | +75.2 pts |
| 100 | Ballard County | 75 | +50.5 pts |
| 101 | Gove County | 74.9 | -71 pts |
| 101 | Rock County | 74.9 | +1.3 pts |
| 103 | Leon County | 74.6 | +24.9 pts |
| 104 | Kearny County | 74.5 | +74.5 pts |
| 105 | Blanco County | 74.3 | +36.5 pts |
| 106 | Jackson County | 74.1 | -0.1 pts |
| 107 | Kiowa County | 74 | +74 pts |
| 108 | Madison County | 73.9 | +29.3 pts |
| 109 | Coleman County | 73.7 | +24.2 pts |
| 110 | White Pine County | 73.7 | +32.3 pts |
| 111 | Hitchcock County | 73.6 | +73.6 pts |
| 112 | Northampton County | 72.9 | +48.6 pts |
| 113 | Wabaunsee County | 72.8 | +43.7 pts |
| 114 | Lynn County | 72.6 | -36 pts |
| 115 | Mineral County | 72.5 | +1.1 pts |
| 116 | Freestone County | 72.2 | +15.9 pts |
| 117 | Aurora County | 72 | -37.1 pts |
| 118 | Keith County | 72 | +48 pts |
| 119 | Stafford County | 71.3 | +47.6 pts |
| 120 | Butler County | 70.9 | +35.8 pts |
| 121 | Sussex County | 70.5 | +44.7 pts |
| 122 | Powell County | 70.2 | +30.8 pts |
| 123 | Owsley County | 69.8 | +23.3 pts |
| 124 | Maries County | 69.8 | +24 pts |
| 125 | Piute County | 69.6 | +69.6 pts |
| 126 | Calhoun County | 69.1 | +0.2 pts |
| 127 | Morton County | 69 | +69 pts |
| 128 | Hidalgo County | 68.9 | -20.7 pts |
| 129 | Jerome County | 68.9 | +38.2 pts |
| 130 | Adair County | 68.8 | +68.8 pts |
| 131 | Glascock County | 68.6 | +68.6 pts |
| 132 | Gray County | 68.6 | +34.7 pts |
| 133 | Jefferson County | 68.4 | +51.6 pts |
| 134 | Harney County | 68.3 | +26.7 pts |
| 135 | Stillwater County | 68.1 | +45.8 pts |
| 136 | Ralls County | 68.1 | +38.7 pts |
| 137 | San Juan County | 67.2 | +33.6 pts |
| 138 | Lawrence County | 66.5 | +36.4 pts |
| 139 | Nolan County | 66.5 | +53.3 pts |
| 140 | Jasper County | 66.3 | +48.2 pts |
| 141 | Miller County | 65.6 | +32.4 pts |
| 142 | Rush County | 65.5 | +65.5 pts |
| 143 | Trinity County | 65.4 | +36.6 pts |
| 144 | McKenzie County | 65.1 | -78.3 pts |
| 145 | Gonzales County | 65.1 | -10.6 pts |
| 146 | Conecuh County | 65.1 | +17.1 pts |
| 147 | Early County | 64.9 | -8.8 pts |
| 148 | Macon County | 64.8 | +35 pts |
| 149 | Claiborne County | 64.6 | +10.9 pts |
| 150 | Baker County | 64.4 | +0.4 pts |
| 151 | Decatur County | 64.1 | +64.1 pts |
| 152 | Clarendon County | 64.1 | +12.2 pts |
| 153 | Vilas County | 63.8 | +45.5 pts |
| 154 | Washington County | 63.6 | +14.4 pts |
| 155 | Reynolds County | 63.6 | -16.6 pts |
| 156 | Burleson County | 63.5 | +40.2 pts |
| 157 | Major County | 63.4 | -25.4 pts |
| 158 | Clarke County | 63 | +63 pts |
| 159 | Union County | 62.9 | +56 pts |
| 160 | Colleton County | 62.7 | +7.5 pts |
| 161 | Houston County | 62.5 | +26.7 pts |
| 162 | Edwards County | 62.5 | -119.7 pts |
| 163 | Perry County | 62.1 | +62.1 pts |
| 164 | Cibola County | 61.8 | +21.7 pts |
| 165 | Taliaferro County | 61.8 | -60 pts |
| 166 | Pendleton County | 61.5 | +46.6 pts |
| 167 | Huerfano County | 61.3 | +29.8 pts |
| 168 | McLean County | 60.8 | -0.1 pts |
| 169 | Kinney County | 60.7 | +0.3 pts |
| 170 | Kearney County | 60.6 | +60.6 pts |
| 171 | Graham County | 60.5 | +24.6 pts |
| 172 | Greene County | 60.3 | -35.5 pts |
| 173 | Jim Hogg County | 59.6 | +40.1 pts |
| 174 | Donley County | 59.5 | +59.5 pts |
| 175 | Johnson County | 59.5 | +1 pts |
| 176 | Comanche County | 59.4 | +29.4 pts |
| 177 | Southeast Fairbanks Census Area | 58.9 | +44.1 pts |
| 178 | Dickey County | 58.3 | +58.3 pts |
| 179 | Clearwater County | 58.2 | +22.9 pts |
| 180 | Rooks County | 58.2 | +58.2 pts |
| 181 | Lincoln County | 58 | -18.9 pts |
| 182 | Pecos County | 58 | -18.2 pts |
| 183 | Powell County | 57.9 | +28.7 pts |
| 184 | Russell County | 57.8 | +14.8 pts |
| 185 | Covington County | 57.8 | -10.1 pts |
| 186 | Breathitt County | 57.7 | +43.3 pts |
| 187 | Meigs County | 57.7 | +24.2 pts |
| 188 | Charles City County | 57.5 | +14.5 pts |
| 189 | Denali Borough | 57.4 | +57.4 pts |
| 190 | Upton County | 57.1 | -28.8 pts |
| 191 | Sherman County | 57.1 | -58.9 pts |
| 192 | Levy County | 56.9 | +4.5 pts |
| 193 | Iberville Parish | 56.9 | +16.4 pts |
| 194 | Panola County | 56.6 | +13.7 pts |
| 195 | Las Animas County | 56.5 | +49.4 pts |
| 196 | Monona County | 56.3 | +22.8 pts |
| 197 | Cherokee County | 56.2 | +20.2 pts |
| 198 | Jefferson County | 56.1 | +19 pts |
| 199 | Goliad County | 56.1 | +0.5 pts |
| 200 | Larue County | 55.9 | +28.1 pts |
| 201 | Cumberland County | 55.9 | +18.6 pts |
| 202 | Ferry County | 55.8 | +28.1 pts |
| 203 | Chester County | 55.7 | +3.3 pts |
| 204 | Dundy County | 55.7 | +55.7 pts |
| 204 | Eureka County | 55.7 | -153 pts |
| 206 | Zavala County | 55.6 | +2 pts |
| 207 | Dallam County | 55.4 | +41.5 pts |
| 208 | Aleutians West Census Area | 55.4 | +37.3 pts |
| 209 | Wilkinson County | 55.3 | +0.3 pts |
| 210 | Morris County | 55.2 | +1 pts |
| 211 | Mercer County | 55 | +27.6 pts |
| 212 | Weston County | 54.9 | +27.3 pts |
| 213 | Walworth County | 54.9 | +17.9 pts |
| 214 | Choctaw County | 54.9 | +20.9 pts |
| 215 | Armstrong County | 54.9 | +54.9 pts |
| 216 | Cassia County | 54.8 | +25.3 pts |
| 217 | Poinsett County | 54.7 | +21.1 pts |
| 218 | Forest County | 54.6 | +54.6 pts |
| 219 | Morgan County | 54.2 | +10.4 pts |
| 220 | Wheeler County | 54.1 | +18.9 pts |
| 221 | Hardeman County | 54 | +26.9 pts |
| 222 | Yukon-Koyukuk Census Area | 54 | +36 pts |
| 223 | Roosevelt County | 53.9 | +1 pts |
| 224 | Jo Daviess County | 53.8 | +18.2 pts |
| 225 | Chambers County | 53.6 | +15.9 pts |
| 226 | Wilbarger County | 53.5 | +8.1 pts |
| 227 | Beaverhead County | 53.4 | +31.7 pts |
| 228 | Cherry County | 53.2 | +17.9 pts |
| 229 | Deuel County | 53.1 | +53.1 pts |
| 230 | Lee County | 52.9 | -35.8 pts |
| 231 | Mayes County | 52.9 | +35.3 pts |
| 232 | Lewis County | 52.9 | +29.4 pts |
| 233 | Fisher County | 52.7 | +0.2 pts |
| 234 | Lake of the Woods County | 52.6 | +52.6 pts |
| 235 | Kit Carson County | 52.6 | +40.4 pts |
| 236 | San Jacinto County | 52.6 | +29.9 pts |
| 237 | Knox County | 52.6 | +26.3 pts |
| 238 | Garfield County | 52.6 | +52.6 pts |
| 239 | Carter County | 52.5 | -49.8 pts |
| 240 | Live Oak County | 52.5 | -16.1 pts |
| 241 | Trinity County | 52.5 | +19.4 pts |
| 242 | McHenry County | 52.2 | +52.2 pts |
| 243 | Williamsburg County | 52.2 | +28 pts |
| 244 | Plumas County | 52.1 | +25.6 pts |
| 244 | Willacy County | 52.1 | +42.7 pts |
| 246 | Monroe County | 52.1 | +29.6 pts |
| 247 | Brown County | 51.9 | +51.9 pts |
| 248 | Warren County | 51.8 | +21.3 pts |
| 249 | Apache County | 51.7 | -20.5 pts |
| 250 | Callahan County | 51.7 | +6.9 pts |
Other periods
About this ranking
Traffic fatalities (NHTSA FARS) per 100,000 residents in the same year and place.
Deaths are counted where the crash happened and divided by the resident population, so counties with busy highways and few residents can show very high rates. Differs from the WHO road traffic death rate (road_traffic_death_rate).
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. 4 counties with data in other periods have no value for 2016 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Invokely calculation from NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k. Retrieved 2026-10-12.
Citation styles
APA 7
Invokely. (n.d.). NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents (US counties by traffic fatality rate, 2016) [Data set]. Calculated from data by NHTSA and BEA. Retrieved October 12, 2026, from https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k
MLA 9
NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents, US counties by traffic fatality rate, 2016. Calculated from data by NHTSA and BEA. Invokely, https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k. Accessed 12 Oct. 2026.
Chicago (author-date)
Invokely. n.d. NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. US counties by traffic fatality rate, 2016. Dataset. Calculated from data by NHTSA and BEA. Accessed October 12, 2026. https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k.
Harvard
Invokely (no date) NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents, US counties by traffic fatality rate, 2016 [Dataset]. Calculated from data by NHTSA and BEA. Available at: https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k (Accessed: 12 October 2026).
BibTeX
@misc{invokely_us_counties_by_traffic_2016,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: US counties by traffic fatality rate, 2016}},
howpublished = {Data set},
url = {https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k},
urldate = {2026-10-12},
note = {Calculated from data by NHTSA and BEA. Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/us-counties?period=2016. Publisher attribution: Invokely calculation from NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. https://invokely.ai/docs/methodology\#traffic\_fatality\_rate\_per\_100k. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Invokely
TI - NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: US counties by traffic fatality rate, 2016
PB - Invokely
DB - Invokely
UR - https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k
L2 - https://invokely.ai/rankings/traffic-fatality-rate/us-counties?period=2016
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/us-counties?period=2016.
N1 - Publisher attribution: Invokely calculation from NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank US counties by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=United%20States&limit=10
Questions
Which county has the highest traffic fatality rate?
Loving County, with 6,122.4 per 100,000 people in 2016, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Ziebach County, with 0 per 100,000 people in 2016.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Invokely, NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. Retrieved 2026-10-12. 4 counties have no value for 2016 and are not ranked.